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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, WBS, SAT, MICT | 2022-05-27 15:00 |
Online | Online | [Invited Talk]
Novel MAC Design and Optimization for B5G Wireless Communications LIM Yuto (JAIST) |
(To be available after the conference date) [more] | WBS2022-16 RCC2022-16 SAT2022-16 MICT2022-16 pp.75-80 |
| MBE, NC (Joint) |
2022-03-04 11:00 |
Online | Online | Observational learning with an entorhinal-hippocampal spiking neural network encoding the position of self and other Katsuya Chiguchi, Katsumi Tateno, Kensuke Takada (Kyutech) |
This study proposes an entorhinal-hippocampal spiking neural network (SNN) encoding the position of self and other, and ... [more] | NC2021-72 p.138 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 15:20 |
Online | Online | A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 15:45 |
Online | Online | A Study on IEEE 802.15.6 UWB PHY Utilizing Super Orthogonal Convolutional Codes Kento Takabayashi (Okayama Prefectural Univ.), Hirokazu Tanaka (Hiroshima City Univ), Katsumi Sakakibara (Okayama Prefectural Univ.)  NLP2021-112 MICT2021-87 MBE2021-73 |
The use of the Internet of Things (IoT) in the medical and healthcare fields has received much attention. It is called t... [more] | NLP2021-112 MICT2021-87 MBE2021-73 pp.187-192 |
| RCS, SIP, IT | 2022-01-20 10:30 |
Online | Online | Signature Code Designed by Binarized Neural Networks Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.) IT2021-34 SIP2021-42 RCS2021-202 |
In multi-user communication systems, user identification and channel estimation scheme depending on signature code are i... [more] | IT2021-34 SIP2021-42 RCS2021-202 pp.34-39 |
| RCS, SIP, IT | 2022-01-20 13:40 |
Online | Online | Iterative Interference Cancellation for Collision-Message Decoding in Unsourced Random Access Communications Dai Oshima, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) IT2021-49 SIP2021-57 RCS2021-217 |
In wireless sensor networks, a few devices, out of a large-enough possible devices equipped with a common code, wants to... [more] | IT2021-49 SIP2021-57 RCS2021-217 pp.113-118 |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A lossless audio codec based on hierarchical residual prediction Taiyo Mineo, Shouno Hayaru (UEC) IT2021-71 SIP2021-79 RCS2021-239 |
In this study, we propose a novel lossless audio codec that has precise predictive performance from the neural network a... [more] | IT2021-71 SIP2021-79 RCS2021-239 pp.239-244 |
| CQ, ICM, NS, NV (Joint) |
2021-11-26 17:05 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
A Vectorization Method for Device Alarms with High Generalization Performance for AI Application to NW Operations Ryosuke Sato, Mizuto Nakamura, Seiji Sakuma, Atsushi Takada, Kyoko Yamagoe (NTT) ICM2021-32 |
The automation of network operation(NWOP) has been progressing, Recently, AI using machine learning models such as neura... [more] | ICM2021-32 pp.49-54 |
| RISING (3rd) |
2021-11-17 11:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Performance Evaluation of CORE with D2D Communications Yuya Izuhara, Umehara Daisuke (Kyoto Inst. of Tech.) |
Device-to-device (D2D) communication is a technology that allows direct communication between mobile terminals without t... [more] | |
| MBE, NC (Joint) |
2021-10-28 15:05 |
Online | Online | Enhancement of spatio-temporal coding performance in spiking neural network and its application to hazard detection for landing of spacecrafts Hideaki Kinoshita, Shinichi Kimura (TUS), Seisuke Fukuda (JAXA) NC2021-21 |
Spiking neural networks (SNNs) are a neuromimetic computational architecture that has attracted much attention in recent... [more] | NC2021-21 pp.16-21 |
| IN, CCS (Joint) |
2021-08-05 14:25 |
Online | Online | Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16 |
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] | CCS2021-16 pp.7-13 |
| CS | 2021-07-16 09:40 |
Online | Online | Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29 |
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] | CS2021-29 pp.63-68 |
| PN, NS, OCS (Joint) |
2021-06-25 14:50 |
Online | Online | A Dynamic Path Establishment Method using Superposition Coding in EON Hiroyasu Sato, Ken-ichi Baba (Kogakuin Univ.), Yusuke Hirota (NICT) PN2021-11 |
In recent years, elastic optical networks (EONs) have been extensively studied to accommodate significantly increasing I... [more] | PN2021-11 pp.40-45 |
| EMM, IT | 2021-05-20 13:25 |
Online | Online | The Achievable Rate Region of Wyner-Ahlswede-Korner Coding Problem for Mixed Sources Daisuke Takeuchi, Shun Watanabe (TUAT) IT2021-2 EMM2021-2 |
The achievable rate region of Wyner-Ahlswede-Körner coding problem for mixed sources is investigated.Wyner-Ahlswede-Körn... [more] | IT2021-2 EMM2021-2 pp.7-12 |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10 |
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] | RCS2021-10 pp.42-47 |
| IN, NS (Joint) |
2021-03-05 16:10 |
Online | Online | Adaptive Network Coding Based on Neighbor Node Mobility in Ad hoc Networks Masami Yoshida, Alberto Gallegos Ramonet, Taku Noguchi (Ritsumeikan Univ.) NS2020-174 |
In mobile ad hoc networks (MANETs), efficient network management is required. Network coding, a technique that encodes p... [more] | NS2020-174 pp.305-310 |
| RCS, SR, SRW (Joint) |
2021-03-03 10:10 |
Online | Online | Multi-input Physical Layer Network Coding in wireless two-way relay networks Hideaki Tsugita, Satoshi Denno, Hou Yafei (Okayama Univ) SRW2020-51 |
In this paper, we propose a multi-input physical layer network coding (Multi-input PLNC) method for two-way communicatio... [more] | SRW2020-51 pp.1-6 |
| NC, MBE (Joint) |
2021-03-04 14:10 |
Online | Online | What characteristics are acquired in coding self-motion from visual motion?
-- Reconstruction of statistical relationship by neural network and its internal representation -- Daiki Nakamura, Hiroaki Gomi (NTT) NC2020-57 |
Efficient coding is a prevailing computational models of sensory coding in the brain. If the sensory information is tran... [more] | NC2020-57 pp.83-88 |
| NLC | 2021-02-18 10:05 |
Online | Online | Connecting Text to The Collective Human Intelligence
-- Responsibilities of Authors and Readers in Civilization -- Kumon Tokumaru (Writer) NLC2020-21 |
Text is a sequence of letters and change into speech stimuli inside the brain of literate persons. Historically in civil... [more] | NLC2020-21 pp.1-6 |
| IE | 2021-01-21 13:00 |
Online | Online | Comparing Pixel Predictors with Different Coding Order for Lossless Image Coding Aki Kunieda, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IE2020-34 |
The efficiency of lossless image coding depends on the pixel predictors, with which unknown pixels are predicted from al... [more] | IE2020-34 pp.1-6 |
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